html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue https://github.com/pydata/xarray/issues/2417#issuecomment-460325261,https://api.github.com/repos/pydata/xarray/issues/2417,460325261,MDEyOklzc3VlQ29tbWVudDQ2MDMyNTI2MQ==,10809480,2019-02-04T16:57:27Z,2019-02-04T20:07:09Z,NONE,"hi, my testcode is running properly on 5 threads thanks for the help ```python import xarray as xr import os import numpy import sys import dask from multiprocessing.pool import ThreadPool #dask-worker = --nthreads 1 with dask.config.set(schedular='threads', pool=ThreadPool(5)): dset = xr.open_mfdataset(""/data/Environmental_Data/Sea_Surface_Height/*/*.nc"", engine='netcdf4', concat_dim='time', chunks={""latitude"":180,""longitude"":360}) dset1 = dset[""adt""]-dset[""sla""] dset1.to_dataset(name = 'ssh_mean') dset[""ssh_mean""] = dset1 dset = dset.drop(""crs"") dset = dset.drop(""lat_bnds"") dset = dset.drop(""lon_bnds"") dset = dset.drop(""__xarray_dataarray_variable__"") dset = dset.drop(""nv"") dset_all_over_monthly_mean = dset.groupby(""time.month"").mean(dim=""time"", skipna=True) dset_all_over_season1_mean = dset_all_over_monthly_mean.sel(month=[1,2,3]) dset_all_over_season1_mean.mean(dim=""month"",skipna=True) dset_all_over_season1_mean.to_netcdf(""/data/Environmental_Data/dump/mean/all_over_season1_mean_ssh_copernicus_0.25deg_season1_data_mean.nc"") ```","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,361016974 https://github.com/pydata/xarray/issues/2417#issuecomment-460292772,https://api.github.com/repos/pydata/xarray/issues/2417,460292772,MDEyOklzc3VlQ29tbWVudDQ2MDI5Mjc3Mg==,10809480,2019-02-04T15:34:04Z,2019-02-04T15:34:04Z,NONE,"i am also interest, I am running a lot of critical processes and I want to at least have 5 cores idleing.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,361016974